Unified estimator for excess journey time under heterogeneous passenger incidence behavior using smartcard data
Name
Unified Estimator of EJT.pdf
Size
1.69 MB
Format
Adobe PDF
Checksum (MD5)
2752e77ee94d35765277050d3d2f1554
Author(s)
Zhao, Jinhua
Frumin, Michael
Zhao, Zhan
Wilson, Nigel H. M.
Date Issued
July 2013
Journal
Transportation Research Part C Emerging Technologies
Publisher
Elsevier
Citation
Zhao, Jinhua; Frumin, Michael; Wilson, Nigel and Zhao, Zhan. “Unified Estimator for Excess Journey Time Under Heterogeneous Passenger Incidence Behavior Using Smartcard Data.” Transportation Research Part C: Emerging Technologies 34 (September 2013): 70–88. © 2013 Elsevier Ltd
Version
Author's final manuscript
Abstract
Excess journey time (EJT), the difference between actual passenger journey times and journey times implied by the published timetable, strikes a useful balance between the passenger’s and operator’s perspectives of public transport service quality. Using smartcard data, this paper tried to characterize transit service quality with EJT under heterogeneous incidence behavior (arrival at boarding stations). A rigorous framework was established for analyzing EJT, in particular for reasoning about passenger’ journey time standards as implied by varying incidence behavior. It was found that although the wrong assumption about passenger incidence behavior and journey time standards could result in a biased estimate of EJT for individual passenger journeys, the unified estimator of EJT proposed in this paper is unbiased at the aggregate level regardless of the passenger incidence behavior (random incidence, scheduled incidence, or a mixture of both). A case study based on the London Overground network (with a tap-in-and-tap-out smartcard system) was conducted to demonstrate the applicability of the proposed method. EJT was estimated using the smartcard (Oyster) data at various levels of spatial and temporal aggregation in order to measure and evaluate the service quality. Aggregate EJT was found to vary substantially across the different London Overground lines and across time periods of weekday service.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.trc.2013.05.009
